Senior Data Engineer

Raytheon UK

Manchester, England, United Kingdom
Not specified; discretionary compyny bonus scheme;...
Onsite
Strong analytic skills with unstructured datasets
Python programming with pyspark pandas pyarrow
Distributed data processing using apache spark
The role involves building data pipelines that clean, transform, and aggregate data from disparate sources while collaborating with stakeholders

Job Summary

  • The role involves building data pipelines that clean, transform, and aggregate data from disparate sources while collaborating with stakeholders.
  • Candidates must currently hold eDV clearance to work on mission-critical systems in the defence, intelligence, and cyber sectors.
  • Benefits include a contributory pension scheme up to 10.5%, 25 days holiday plus public holidays, and an early finish on Fridays.

Matching Summary

The role involves building data pipelines that clean, transform, and aggregate data from disparate sources while collaborating with stakeholders.

Salary

Not specified; Discretionary company bonus scheme; Contributory pension up to 10.5%; Life assurance 6x salary

Skills & Requirements

Must-have

  • Strong analytic skills with unstructured datasets
  • Python programming with PySpark Pandas PyArrow
  • Distributed data processing using Apache Spark
  • Data ETL experience with Airflow or NiFi
  • Cloud services knowledge AWS Azure or GCP
  • Messaging streaming with Kafka or SQS
  • SQL NoSQL storage including HDFS Iceberg S3
  • Containerisation with Docker Kubernetes Openshift
  • Current eDV clearance required

Nice-to-have

  • Collaborative cross-functional Agile team environment
  • Continuous improvement mindset
  • DevSecOps at scale experience
  • AI Machine Learning capabilities exposure
  • Flexible working culture focused on output

Key Requirements

  • Must hold current eDV clearance
  • Senior level professional profile
  • Experience with distributed data processing

Work Rights

Must hold eDV clearance

Tailored Resume

Cover Letter